The prevalence and risk factors of low-energy fractures among postmenopausal women with osteoporosis in Belarus

Similar documents
Skeletal Manifestations

DEVELOPMENT OF A RISK SCORING SYSTEM TO PREDICT A RISK OF OSTEOPOROTIC VERTEBRAL FRACTURES IN POSTMENOPAUSAL WOMEN

Module 5 - Speaking of Bones Osteoporosis For Health Professionals: Fracture Risk Assessment. William D. Leslie, MD MSc FRCPC

Interpreting DEXA Scan and. the New Fracture Risk. Assessment. Algorithm

Using the FRAX Tool. Osteoporosis Definition

Comparison of Bone Density of Distal Radius With Hip and Spine Using DXA

Submission to the National Institute for Clinical Excellence on

ASJ. How Many High Risk Korean Patients with Osteopenia Could Overlook Treatment Eligibility? Asian Spine Journal. Introduction

NIH Public Access Author Manuscript Endocr Pract. Author manuscript; available in PMC 2014 May 11.

Original Article. Ramesh Keerthi Gadam, MD 1 ; Karen Schlauch, PhD 2 ; Kenneth E. Izuora, MD, MBA 1 ABSTRACT

International Journal of Health Sciences and Research ISSN:

Fractures: Epidemiology and Risk Factors. July 2012 CME (35 minutes) 7/24/ July12 1. Osteoporotic fractures: Comparison with other diseases

DXA When to order? How to interpret? Dr Nikhil Tandon Department of Endocrinology and Metabolism All India Institute of Medical Sciences New Delhi

Osteoporosis/Fracture Prevention

A FRAX Experience in Korea: Fracture Risk Probabilities with a Country-specific Versus a Surrogate Model

An audit of osteoporotic patients in an Australian general practice

Body Mass Index as Predictor of Bone Mineral Density in Postmenopausal Women in India

Disclosures Fractures: A. Schwartz Epidemiology and Risk Factors Consulting: Merck

Nutritional Aspects of Osteoporosis Care and Treatment Cynthia Smith, FNP-BC, RN, MSN, CCD Pars Osteoporosis Clinic, Belpre, Ohio

Disclosures Fractures:

International Journal of Research and Review E-ISSN: ; P-ISSN:

O. Bruyère M. Fossi B. Zegels L. Leonori M. Hiligsmann A. Neuprez J.-Y. Reginster

Chapter 39: Exercise prescription in those with osteoporosis

Horizon Scanning Centre March Denosumab for glucocorticoidinduced SUMMARY NIHR HSC ID: 6329

Objectives: What is Osteoporosis 10/8/2015. Bone Health/ Osteoporosis: BASICS OF SCREENING, INTERPRETING, AND TREATING

Assessment of Individual Fracture Risk: FRAX and Beyond

Fragile Bones and how to recognise them. Rod Hughes Consultant physician and rheumatologist St Peter s hospital Chertsey

Management of postmenopausal osteoporosis

July 2012 CME (35 minutes) 7/12/2016

Fractures: Epidemiology and Risk Factors. Osteoporosis in Men (more this afternoon) 1/5 men over age 50 will suffer osteoporotic fracture 7/16/2009

Use of DXA / Bone Density in the Care of Your Patients. Brenda Lee Holbert, M.D. Associate Professor Senior Staff Radiologist

Disclosures. Diagnostic Challenges in Osteoporosis: Whom To Treat 9/25/2014

nogg Guideline for the diagnosis and management of osteoporosis in postmenopausal women and men from the age of 50 years in the UK

Osteoporosis Knowledge Assessment among Medical Interns

Official Positions on FRAX

Measuring Bone Mineral Density

BONE HEALTH Dr. Tia Lillie. Exercise, Physical Activity and Osteoporosis

Osteoporosis. Overview

Bone Mineral Densitometry with Dual Energy X-Ray Absorptiometry

1

Bone mineral density of patients attending a clinic in Dubai

Study of secondary causes of male osteoporosis

Available online at ScienceDirect. Osteoporosis and Sarcopenia 1 (2015) 109e114. Original article

Clinician s Guide to Prevention and Treatment of Osteoporosis

Screening for absolute fracture risk using FRAX tool in men and women within years in urban population of Puducherry, India

Purpose. Methods and Materials

Challenging the Current Osteoporosis Guidelines. Carolyn J. Crandall, MD, MS Professor of Medicine David Geffen School of Medicine at UCLA

Dr Tuan V NGUYEN. Mapping Translational Research into Individualised Prognosis of Fracture Risk

Building Bone Density-Research Issues

NGUYEN THI NGOC LAN- TAO THI MINH THUY

To understand bone growth and development across the lifespan. To develop a better understanding of osteoporosis.

Effect of Precision Error on T-scores and the Diagnostic Classification of Bone Status

Assessment of the risk of osteoporotic fractures in Prof. J.J. Body, MD, PhD CHU Brugmann Univ. Libre de Bruxelles

Correlation between Thyroid Function and Bone Mineral Density in Elderly People

Horizon Scanning Technology Briefing. Zoledronic Acid (Aclasta) once yearly treatment for postmenopausal. National Horizon Scanning Centre

Influence of bone densitometry on the anti-osteoporosis treatment after fragility hip fracture

CASE 1 WHY IS IT IMPORTANT TO TREAT? FACTS CONCERNS

Diagnostische Präzision von DXL im Vergleich zu DXA bei pmp Frauen mit Frakturen

Osteoporosis. Current Trend in Osteoporosis Management for Elderly in HK- Medical Perspective. Old Definition of Osteoporosis

IEHP UM Subcommittee Approved Authorization Guidelines DEXA Scan

Efficacy of risedronate in men with primary and secondary osteoporosis: results of a 1-year study

LOVE YOUR BONES Protect your future

Osteoporosis: Are your bones at risk of fracturing? Rachel Wallwork, MD Internal medicine resident Massachusetts General Hospital

DXA Best Practices. What is the problem? 9/29/2017. BMD Predicts Fracture Risk. Dual-energy X-ray Absorptiometry: DXA

Osteoporosis Screening and Treatment in Type 2 Diabetes

Forteo (teriparatide) Prior Authorization Program Summary

Bone Density Measurement in Women

Validation of the Osteoporosis Self-Assessment Tool in US Male Veterans

Concordance of a Self Assessment Tool and Measurement of Bone Mineral Density in Identifying the Risk of Osteoporosis in Elderly Taiwanese Women

Bone Mineral Density and Its Associated Factors in Naresuan University Staff

Oral Alendronate Vs. Three-Monthly Iv Ibandronate In The Treatment Of Postmenopausal Osteoporosis

AMERICAN COLLEGE OF RHEUMATOLOGY POSITION STATEMENT. Committee on Rheumatologic Care

They are updated regularly as new NICE guidance is published. To view the latest version of this NICE Pathway see:

NICE SCOOP OF THE DAY FRAX with NOGG. Eugene McCloskey Professor of Adult Bone Diseases University of Sheffield

What Is FRAX & How Can I Use It?

SCHEDULE 2 THE SERVICES. A. Service Specifications

Risk factors associated with low bone mineral density in Ajman, UAE

Osteoporosis: Who, What, When, Why, and How

Trabecular bone analysis with tomosynthesis in diabetic patients: comparison with CT-based finite-element method

FRAX Based Guidelines: Is a Universal Model Appropriate?

Learning Objectives. Controversies in Osteoporosis Prevention and Management. Definition. Presenter Disclosure Information.

Relationship between Bone Mineral Density and Maturity Index in Cervical Smears, Serum Estradiol Levels and Body Mass Index

denosumab (Prolia ) Policy # Original Effective Date: 07/21/2011 Current Effective Date: 04/19/2017

Risk Factors for Postmenopausal Fractures What We Have Learned from The OSTPRE - study

Based on review of available data, the Company may consider the use of denosumab (Prolia) for the

Osteoporosis. World Health Organisation

Osteoporosis: fragility fracture risk. Costing report. Implementing NICE guidance

Learning Objectives. Controversies in Osteoporosis Prevention and Management. Etiology. Presenter Disclosure Information. Epidemiology.

Osteoporosis International. Original Article. Bone Mineral Density and Vertebral Fractures in Men

Preoperative dual-energy X-ray absorptiometry and FRAX in patients with lumbar spinal stenosis

BMD: A Continuum of Risk WHO Bone Density Criteria

Coordinator of Post Professional Programs Texas Woman's University 1

Osteoporosis Management

Epidemiology and Consequences of Fractures

Bone Mass Measurement BONE MASS MEASUREMENT HS-042. Policy Number: HS-042. Original Effective Date: 8/25/2008

Bone Densitometry Pathway

Osteoporosis: A Tale of 3 Task Forces!

An audit of bone densitometry practice with reference to ISCD, IOF and NOF guidelines

FRAX Identifying people at high risk of fracture

John J. Wolf, DO Family Medicine

Transcription:

Gerontologija 2014; 15(3): 143 147 GERONTOLOGIJA Original article The prevalence and risk factors of low-energy fractures among postmenopausal women with osteoporosis in Belarus Ema Rudenka 1, Natalya Predko 2, Alena Rudenka 2, Katiaryna Vasilenka 1, Anastasiya Adamenka 1 1 City center of osteoporosis, Minsk, Belarus 2 Belarusian Medical Academy of Post-Graduate Education, Minsk, Belarus Abstract Background and objective. Osteoporosis (OP) is the main cause of fractures, leading to serious complications which result in reduced quality of life, disability and increased mortality, especially in the elderly. The priority in the prevention of osteoporotic fractures is given to the identification of individuals at high risk for low-energy fractures. Materials and methods. Ambulatory women aged over 50 years who were at least 3 years postmenopausal and diagnosed of postmenopausal osteoporosis (BMD T-score < 2.5 at femoral neck or lumbar spine) were enrolled in the study. X-ray densitometry at the anterior-posterior projection of lumbar spine (L 1 ) and both proximal femurs as well as taking of medical history focused on the identification of the risk of fragility fractures and fracture history was performed in all women. Results. The history of previous low-energy fractures was reported in 53% of the examined women, the prevalence of Address: Rudenka Alena Kuibisheva str. 69 75, 220100, Minsk, Belarus Phone +375296057683 E-mail: alenka.v.ru@gmail.com low-energy fractures increased with age. There were statistically significant differences between women with and without history of osteoporotic fractures by anthropometric data and results of dual-energy x-ray absorptiometry. Conclusions. Most postmenopausal women with diagnosed OP experienced low-energy fractures. Significant risk factors of osteoporotic fractures in the studied sample were older age, lower height and higher reduction of height during life, longer period of menopause. Key words: postmenopausal women, osteoporosis, low-energy fractures, risk factors Introduction A lot of attention is paid to the problem of osteoporosis (OP) in many countries due to the high prevalence of this disease and its serious consequences. Osteoporosis is the main cause of fractures, leading to serious complications which result in reduced quality of life, disability and increased mortality, especially in the elderly. Epidemiological

144 E. Rudenka, N. Predko, A. Rudenka, K. Vasilenka, A. Adamenka data indicate a high prevalence of OP: in Europe, USA and Japan OP is diagnosed in 75 millions of people [1]. In 2004, in USA 10 millions of Americans over the age of 50 years were diagnosed with OP and 34 millions had the presence of risk factors for the disease [2]. Clinically OP is recognized usually when a typical low-energy fracture occurs, the most common localization of which are distal forearm, vertebral bodies in the lumbar spine and hip. The most serious social and health consequences are associated with hip fractures [3]. Osteoporotic fractures are associated not only with increased morbidity, disability and reduced quality of life, but also with increased mortality (± 25%) within one year after the injury [4]. The risk of death is significantly higher in patients with the presence of comorbidities which are the most important reason of reduced life expectancy rather than just the presence of a fracture [5]. In the United States each year about 1.5 million people suffer from osteoporotic fractures, 300,000 cases of hospitalization due to hip fracture are recorded annually, and the direct costs of treating hip fractures compose for 18 billion dollars a year, 20% of elderly people who had suffered a fracture of the femoral neck, die within a year after the injury [2]. Similar epidemiological data are observed in the UK, where it is assumed that every other woman over age 50 and one in five men of the same age will suffer osteoporotic fracture during the remaining years of life [6]. In 2000 3.79 millions fractures, associated with the OP, were recorded in Europe, of this number 0.89 million were hip fractures: 711,000 cases in women and 179,000 in men [7]. The risk of clinically important fractures was 40%, which is comparable with the risks of cardiovascular diseases [8]. Currently, the priority in the prevention of osteoporotic fractures is given to the identification of individuals at high risk for low-energy fractures, such as family history of fragility fractures, previous osteoporotic fractures, low physical activity, prolonged intake of corticosteroids, low body weight, smoking, alcohol abuse, predisposition to falls, early menopause in women. The aim of our study was to determine the frequency and localization of low-energy fractures, as well as the presence of risk factors of fractures in women with low values of bone mineral density (BMD). Materials and Methods Random samples of the records of 4 000 Caucasian postmenopausal female patients of Minsk city center of osteoporosis were taken and the medical records of 930 women were analyzed and invited to participate in the study. Ambulatory women aged over 50 years who were at least 3 years postmenopausal and diagnosed of postmenopausal osteoporosis (BMD T-score < 2.5 at femoral neck or lumbar spine) were enrolled in the study. Written informed consent was obtained from all persons willing to participate in the study. Exclusion criteria were: the presence of conditions known to affect bone metabolism: diseases (Paget s disease, osteogenesis imperfecta, rheumatoid arthritis etc.) or medication intake (glucocorticosteroids). Mean age of women enrolled in the study was 66 ± 10,2 years. X-ray densitometry at the anterior-posterior projection of lumbar spine (L 1 ) and both proximal femurs was performed in all women using dual X-ray absorptiometry (DEXA, GE Lunar Prodigy Advance, USA). The least significant change of repeated measurements in was 2.2% for the lumbar spine and 2% for the hip. The data of medical history focused on the identification of the risk of fragility fractures and fracture history was obtained by physician using a specially designed questionnaire in the computer program Osteoprognosis. Statistical analysis of the obtained data was performed using STATISTICA 10 for Windows (Statsoft Inc., USA). Differences between groups were considered statistically significant at p < 0.05. For BMD, the data are presented as Mean ± standard deviation (in g/cm 2 ), as the distribution was normal. Results The majority of the examined women (493 of 930), which accounted for 53% of all the observed, had previous low-energy fractures. Of this amount 202 patients (41% of women) had recurrent fractures, and 78 (16%) of women had suffered a fracture in a third time. Analysis of the incidence of fractures in different age groups revealed that the prevalence of low-energy fractures in the examined sample of postmenopausal women increases with age: from 20% in age group 50 60 years, 24% at the age group 60 70 to 33% at the age group older than 70 years. Characteristics of fractures depending on their localization are shown in Figure 1. The most common sites of primary fractures were fractures of the forearm (42% of the total), following in frequency were fractures of the spine (35%) and hip fractures (23%), the same trend was observed in the analysis of repeated and tertiary fractures.

The prevalence and risk factors of low-energy fractures among postmenopausal women with osteoporosis in Belarus 145 Fig. 1. Localizations of osteoporotic fractures in the studied sample of women Comparative analysis using the paired t-test was performed to identify the differences in age, anthropometric data and results of DEXA of women with a history of fractures and without them (Table). According to the obtained results it was found that there were statistically significant differences between examined groups by such parameters as age, height and duration of menopause. Besides, there was a statistically significant difference in reduction of height during life between women, who had a history of low-energy fractures, compared to those who did not. Our results are consistent with other studies: it is known, that the major risk factors for osteoporotic fractures are reduced height and age of patients [9, 10]. Regarding to the data of DEXA, statistically significant changes were obtained for BMD values at all the examined sites of the skeleton: the showings of BMD at lumbar spine and both proximal femurs were lower in the group of women who had a history of fractures. In the next step, we analyzed anamnestic data obtained using a specially designed questionnaire, taking into account the peculiarities of the way of life, to identify the most significant risk factors for fractures in women in the Belarusian population (Figure 2). This analysis showed that 25% of women who experienced fractures reported family history low-energy fractures, while among those, who did not suffer from fractures, these data were obtained in only 2% of cases. It was found that women who suffered low-energy fractures, were more likely to suffer from low back pain, use crutches or a cane, had limitations in motor activity (walking at least 30 minutes per day), most likely to fall and had a fear of falling compared with women who didn t had a history of fragility fractures (Fig. 2). Table. Comparative characteristics of individuals with and without history of fragility fractures With history of fractures (n = 493) Without history of fractures (n = 437) Age, years 69.04 ± 9.84 63.7 ± 9.85 8.24217 <0.001 Weight, kg 67.13 ± 11.99 66.46 ± 11.83 0.77294 0.439 Height, cm 155.27 ± 5.46 157.83 ± 4.48 4.25739 <0.001 BMI 27.83 ± 4.80 28.81 ± 5.45 1.50830 0.132 Duration of menopause, years 12.05 ± 8.33 9.79 ± 8.74 2.44626 0.014 Reduction in height during life, cm 3.59 ± 3.15 2.45 ± 1.61 3.34827 <0.001 BMD L 1, g/cm 2 0.977 ± 0.178 1.046 ± 0.158 2.67072 <0.001 T-score L 1 3.45 ± 1.07 3.32 ± 0.87 1.93894 0.052 BMD right proximal femur (total), g/cm 2 0.864 ± 0.99 0.945 ± 0.119 4.21209 <0.001 T-score right proximal femur (total) 1.6 ± 0.99 1.29 ± 0.94 4.65098 <0.001 BMD left proximal femur (total), g/cm 2 0.870 ± 0.134 0.942 ± 0.130 3.49871 <0.001 T-score left proximal femur (total) 1.9 ± 0.87 1.34 ± 0.96 4.54176 <0.001 t-value p

146 E. Rudenka, N. Predko, A. Rudenka, K. Vasilenka, A. Adamenka Fig. 2. Lifestyle characteristics in the studied sample Fig. 3. The incidence of comorbidities in the studied sample of women Evaluation of the incidence of comorbidities in the studied groups revealed that women with a history of osteoporotic fractures more often suffer from disorders of the gastrointestinal tract, diabetes mellitus and coronary heart disease, which may be explained by higher showings of age in this group (Fig. 3). Thus, on the basis of the analyzed data, the following conclusions were made: 1. The majority of women with low BMD had low-energy fractures. 2. The incidence of low-energy fractures in the studied sample of women increases with age and reaches a maximum in the age group over 70 years. 3. The most common localizations of osteoporotic fractures in the studied sample was distal forearm, the second highest rate the spine, the third proximal femur. 4. Significant risk factors of osteoporotic fractures in the studied sample were older age, lower height and higher reduction of height during life, longer period of menopause 5. Women with a history of osteoporotic fractures more often suffered from disorders of the gastrointestinal tract, diabetes mellitus and coronary heart disease.

The prevalence and risk factors of low-energy fractures among postmenopausal women with osteoporosis in Belarus 147 References 1. EFFO and NOF. Who are candidates for prevention and treatment for osteoporosis? Osteoporos Int. 1997; 7: 1. 2. The US Surgeon General s report, Osteoporosis Action 3/2004. 3. Cooper C. The crippling consequences of fractures and their impact on quality of life. Am J Med. 1997; 103(2): 12S 9. 4. Chrischilles EA; Lindsay R, Silverman S, Cooper C, et al. Risk of new vertebral fracture in the year following a fracture. JAMA. 2001; 285: 320 3. 5. Cooper C, Harvey N, Dennison E (2008) Worldwide epidemiology of osteoporotic fractures. In: Innovation in skeletal medicine. 2008: 95 112. 6. Van Staa TP D, EM LHG, Cooper C. Epidemiology of fractures in Wales and England. Bone. 2001; 29: 517 22. 7. Kanis A, Johnell O. Requirements for DEXA for the management of Osteoporosis in Europe. 2005. 8. Kanis JA. Diagnosis of osteoporosis and assessment of fracture risk. Lancet. 2002; 359: 1929. 9. Leslie WD. Absolute fracture risk reporting in clinical practice: A physician-centered survey. Osteoporos Int. 2008; 19: 459. 10. Moayyeri A, Luben RN, Bingham SA, et al. Measured height loss predicts fractures in middle-aged and older men and women: The EPIC-Norfolk prospective population study. J Bone Miner Res. 2008; 23: 425. Received: May 16, 2014 Accepted: August 28, 2014 mažos energijos TRAUMOS lūžių paplitimas Ir rizikos veiksniai TARP Pomenopauzine osteoporoze sergančių moterų Baltarusijoje Ema Rudenka 1, Natalya Predko 2, Alena Rudenka 2, Katiaryna Vasilenka 1, Anastasiya Adamenka 1 1 Osteoporozės centras, Minskas, Baltarusijos Respublika 2 Baltarusijos medicinos podiplominių studijų akademija, Minskas, Baltarusijos Respublika Santrauka Osteoporozė (OP) tai pagrindinė kaulų lūžių priežastis senyvame amžiuje, įtakojanti prastą gyvenimo kokybę, negalią ir padidėjusį mirtingumą. Osteoporozinių kaulų lūžių prevencijos tikslas nustatyti didelei rizikos grupei priklausančius asmenis, kuriems gresia mažos energijos traumos lūžiai. Tyrimo metodai. Tyrime dalyvavo 50 metų ir vyresnės moterys, kurioms per 3 metus po menopauzės buvo diagnozuoja pomenopauzinė osteoporozė (KMT T-lygmuo šlaunikaulio kaklo ar juosmeninės stuburo dalies < 2,5). Visoms moterims buvo atlikti priekinės-užpakalinės juosmeninės stuburo dalies projekcijos (L 1 ) ir abiejų šlaunikaulių proksimalinių dalių kaulų mineralų tankio tyrimai, surinkta informacija apie patirtus lūžius, nustatyti lūžių rizikos veiksniai. Rezultatai. Išanalizavus tyrimo dalyvių rezultatus, mažos energijos traumos lūžiai buvo nustatyti 53 proc. moterų, mažos energijos traumos lūžių dažnis didėjo su amžiumi. Moterų, patyrusių osteoporozinius lūžius, antropometriniai ir dvisrautės radioabsorbciometrijos duomenys statistiškai reikšmingai skyrėsi palyginti su moterų nepatyrusių lūžių. Išvados. Dauguma pomenopauzine osteoporoze sergančių moterų patyrė mažos energijos traumos lūžius. Tyrimo metu nustatyta, kad reikšmingi rizikos veiksniai patirti osteoporozinį lūžį yra vyresnis amžius, žemesnis ūgis, didesnis ūgio sumažėjimas senstant ir ilgesnis menopauzės periodas. Reikšminiai žodžiai: moterys po menopauzės, osteoporozė, mažos energijos traumos lūžiai, rizikos veiksniai